Demographics, Labour Market, and Pension Sustainability in Hungary1
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Society and Economy DOI: 10.1556/204.2019.015 DEMOGRAPHICS, LABOUR MARKET, AND PENSION SUSTAINABILITY IN HUNGARY1 ANDRÁS OLIVÉR NÉMETH – PETRA NÉMETH – PÉTER VÉKÁS Department of Economic Policy, Corvinus University of Budapest, Hungary Email: [email protected] Department of Macroeconomics, Corvinus University of Budapest, Hungary Email: [email protected] Department of Operations Research and Actuarial Sciences, Corvinus University of Budapest, Hungary Email: [email protected] The sustainability of an unfunded pension system depends highly on demographic and labour market trends, i.e. how fertility, mortality, and employment rates change. In this paper we provide a brief summary of recent developments in these fi elds in Hungary and draw up a picture of the current situation. Then, we forecast the path of the economic old-age dependency ratio, i.e. the ratio of the elderly and employed populations. We make different alternative assumptions about fertility, mortality, and employment rates. According to our baseline scenario the dependency ratio is expect- ed to rise from 40.6% to 77% by 2050. Such a sharp increase makes policy intervention inevitable. Based on our sensitivity analysis, the only viable remedy is increasing the retirement age. Keywords: pensions, sustainability, demography, employment, dependency ratio JEL codes: H55, J11, J18, J21 1 This research has been supported by the European Union and Hungary and co-financed by the European Social Fund through the project EFOP-3.6.2-16-2017-00017, titled ”Sustainable, intelligent and inclusive regional and city models”. 1588-9726 © 2019 The Author(s) Unauthenticated | Downloaded 10/02/21 07:51 PM UTC 147 ANDRÁS OLIVÉR NÉMETH et al. 1. INTRODUCTION The first nationwide public old-age pension system of Hungary dates back to 1928. The current unfunded system was established in 1951, and it was further extended into a three-pillar system in 1998, with an unfunded first pillar, a pri- vately owned, fully funded second-pillar (effectively abolished in 2011), and a fully funded, voluntary third pillar, which now has over one million members. Currently, more than two million people receive first-pillar pensions (Hungarian Central Statistical Office 2019). The quality of pension systems is frequently assessed according to the three criteria of sustainability (the balance of revenues and expenditures in the long run), adequacy (the quality of life it can provide to retired individuals) and fair- ness (the proportionality of benefits to individual – or group – contributions). In this paper, we only focus on the criterion of sustainability by examining the pre- dicted long-term evolution of the economic old-age dependency ratio, i.e. the ra- tio of the elderly and employed populations, thereby counting individuals instead of modelling cash-flows, which would require a more sophisticated approach. The evolution of the economic old-age dependency ratio, an important in- dicator of pension sustainability, is largely determined by socio-demographic and system-related factors. The former includes factors like fertility, longevity, employment and migration, while the latter comprises pension parameters (such as the retirement age, contribution rates, etc.) and the structural nature of the system (such as the number and types of pillars, the existence of notional ac- counts, etc.). In the first part of our analysis, we examine the effects of the three socio- demographic factors of fertility, longevity and employment on the sustainabil- ity of the pension system, and we implicitly assume net migration to be zero, following Bajkó et al. (2015). Migratory processes within the European Union are very hard to measure accurately, and are subject to heavy fluctuations in the short run, which make it nearly impossible to forecast them in a reliable fashion. Later on, we examine how specific factors (fertility, employment, migration, and retirement age) should change in order to mitigate the projected increase in the dependency ratio and its negative effects on pension sustainability. Section 2 reviews the literature about pension sustainability in general and the Hungarian case in particular, including some policy proposals appearing in the literature. Section 3 describes the recent developments in demographics and employment in Hungary. Section 4 examines different scenarios in forecasting the economic old-age dependency ratio, while Section 5 contains a reverse analy- sis of necessary changes in the determinants of pension sustainability. Section 6 concludes. Society and Economy 42 (2020) Unauthenticated | Downloaded 10/02/21 07:51 PM UTC DEMOGRAPHICS, LABOUR MARKET, AND PENSION SUSTAINABILITY IN HUNGARY 148 2. RELATED LITERATURE According to Diaconu (2015), all European Union member states will experience a deterioration of all demographic indicators related to population ageing and pension sustainability, which will manifest itself in the unprecedented phenom- enon of reversed population pyramids, and some analysts warn that Central and Eastern European member states will be more affected by this process than the rest of Europe. Several forecasts show that the demographic old-age dependency ratio2 is on a visibly increasing trend in Hungary and in the region. For example, Földházi (2015: 222) shows how the Hungarian ratio increased slightly between 1990 and 2011 from 20% to 24%, and forecasts a significant increase in the next decades, to above 60% by 2060. The OECD (2017: 123) has a somewhat less pessimistic forecast: they expect the dependency ratio to increase to 52.4% by 2050 and 57.6% by 2075. Other projections estimate even slightly lower dependency ratios for the coming decades. Casey et al. (2003: 32) expect the Hungarian ratio to rise up to 47.2% by 2050, whereas Creighton (2014: 7) uses a longer forecasting horizon and expects the same indicator to reach 52% by 2060. By comparison, the Hungarian Ministry for National Economy and the Central Administration of National Pension Insurance (2017: 7) forecast very similar figures: 49.1% in 2050 and 53.2% in 2060, and they surprisingly expect the ratio to reach a peak in 2062 and gradually decrease afterwards, down to 52% in 2070. The projection of Eurostat (2019a) is 48.8% in 2050, which almost perfectly coincides with the previously cited government forecast. Bajkó et al. (2015: 1253) expect the de- pendency ratio to reach 39% by 2035. Burns and Cekota (2002) argue that the population in Hungary started to decline earlier than in any other OECD member state. As for maintaining the sustainability of the public pension system, the authors advocate three specific policy measures: (1) restoring the parameters of the earlier pension reform3 and encouraging higher labour force participation; (2) improving the employability 2 The demographic old-age dependency ratio (usually simply called the old-age dependency ratio) is the ratio of the elderly and working-age populations. In our research presented in Sec- tions 4 and 5, we concentrate on the economic old-age dependency ratio, whose denominator contains the number of employed people instead of the working-age population. Therefore, its path depends not just on demographics, but on labour market trends as well. 3 It should be noted that this recommendation is related to the three-pillar system of that time (whose second pillar is now defunct), similarly to the frequently cited paper of Orbán and Palotai (2005), which warns that under the assumption of continuing low returns, the second pillar would not provide sufficient additional benefits to make up for the reduction in first- pillar pensions due to the introduction of the second pillar. Society and Economy 42 (2020) Unauthenticated | Downloaded 10/02/21 07:51 PM UTC 149 ANDRÁS OLIVÉR NÉMETH et al. of the numerous and growing Roma population,4 and (3) a radical reform of the healthcare system. Gil-Alonso (2012) presents a general demographic framework following Calot (1995) to examine the impact of ageing in 27 EU member states as well as Can- ada, Japan, South Korea and the United States in the period between 2008 and 2050. He assesses the effectiveness of four policy measures in these countries: expanding the number of employed immigrants, increasing the retirement age, allocating a higher percentage of the GDP to pension benefits and modifying the transfer ratio, defined as the ratio of the average pension benefit to GDP per employed person. The author finds that it is not possible to achieve sustainability in the long run by immigration alone and concludes that the optimal policy mix will probably differ from country to country. As for Hungary, Gil-Alonso (2012) concludes that due to the ageing of the population, low birth rates and the rapid shrinking of the working-age population, the number of employed people has to grow steeply and continuously through 2050 in order to maintain the balance of the incomes and expenditures of the public pension system, and even under the hypothetical assumption that 75% of the working-age population will be em- ployed at any time, the system will incur a continuously increasing deficit starting around 2028. In a more recent paper, Freudenberg et al. (2016) forecast the Hungarian popu- lation up to 2060 and find that the age structure of the population, frequently illustrated by the so-called population pyramid, is expected to undergo a severe distortion, and by 2060, the most populous cohorts will be those aged around 70 years. This process clearly jeopardizes the long-run sustainability of the Hungar- ian public pension system: according to their calculations, the deficit of the pen- sion system may reach 4% of the GDP by 2060. Bajkó et al. (2015) describe their own complex model including cash-flows and demographic projections, and find that given the current trends, an increas- ing deficit would first appear in 2026. They propose two parametric solutions to achieve sustainability through 2035: increasing contribution rates (by as much as 4% of gross wages), or the indexation of the retirement age to life expectancy at retirement (akin to the Danish pension system).